[PDF][PDF] Early Alzheimer's Disease Detection Using Different Techniques Based on Microarray Data: A Review.

ST Ahmed, SM Kadhem - International Journal of Online & …, 2022 - researchgate.net
Alzheimer's Disease (AD) is a degenerative disease of the brain that results in memory loss
due to the death of brain cells. Alzheimer's disease is more common as people get older …

Employing neural style transfer for generating deep dream images

LR Al-Khazraji, AR Abbas… - Aro-The Scientific Journal …, 2022 - aro.koyauniversity.org
In recent years, deep dream and neural style transfer emerged as hot topics in deep
learning. Hence, mixing those two techniques support the art and enhance the images that …

[HTML][HTML] A survey on artificial intelligence in posture recognition

X Jiang, Z Hu, S Wang, Y Zhang - Computer modeling in …, 2023 - ncbi.nlm.nih.gov
Over the years, the continuous development of new technology has promoted research in
the field of posture recognition and also made the application field of posture recognition …

Human fall down recognition using coordinates key points skeleton

WH Abd, AT Sadiq, KA Hussein - 2022 3rd Information …, 2022 - ieeexplore.ieee.org
Falls are a significant hazard to human safety and may have a devastating consequences in
a matter of seconds. This is especially true for elderly, since falls are the primary cause of …

Comparative study of orthogonal moments for human postures recognition

M Younsi, M Diaf, P Siarry - Engineering Applications of Artificial …, 2023 - Elsevier
Human posture recognition has recently attracted a significant attention from the computer
vision community. However, as in any pattern recognition problem, the features extracted …

Optimizing Alzheimer's disease prediction using the nomadic people algorithm

ST Ahmed, SM Kadhem - International Journal of Electrical …, 2023 - search.proquest.com
The problem with using microarray technology to detect diseases is that not each is
analytically necessary. The presence of non-essential gene data adds a computing load to …

[PDF][PDF] Alzheimer's disease prediction using three machine learning methods

ST Ahmed, SM Kadhem - Indonesian Journal of Electrical …, 2022 - academia.edu
Alzheimer's disease (AD) is the most common incurable neurodegenerative illness, a term
that encompasses memory loss as well as other cognitive abilities. The purpose of the study …

Falling motion detection algorithm based on deep learning

N Zhu, G Zhao, X Zhang, Z Jin - IET Image Processing, 2022 - Wiley Online Library
Falling is a significant cause of injuries and even death in the elderly. The timely detection of
the fall action helps to rescue people who may have physical health problems due to the fall …

AFAR: a real-time vision-based activity monitoring and fall detection framework using 1D convolutional neural networks

JJP Suarez, N Orillaza, P Naval - Proceedings of the 2022 14th …, 2022 - dl.acm.org
In recent years, there has been an increased interest in the use of telemedicine as an option
to avail proper healthcare. However, one of the main issues of activity monitoring and fall …

Visually Interpretable Fuzzy Neural Classification Network with Deep Convolutional Feature Maps

CF Juang, YW Cheng, YM Lin - IEEE Transactions on Fuzzy …, 2023 - ieeexplore.ieee.org
This paper proposes a deep feature map-based fuzzy neural classification network (DFM-
FNCN) with applications to shape-based classification problems. The DFM-FNCN is …